BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251106T011004Z UID:9A4930CC-33FD-4AEC-8B6C-33ABE65428B3 DTSTART;TZID=America/New_York:20251016T180000 DTEND;TZID=America/New_York:20251016T210000 DESCRIPTION:Greetings IEEE Members of East TN\,\n\nCome and join us on Oct 16th at 6 PM to hear our ownTheo Laughner share a talk entitled “Using t he Whisker Lab’s Ting Sensor to Improve Grid Health While Protecting Hom es from Electrical Fire Hazards” (abstract below).\n\nThe talk will be h eld at the Zeanah Engineering Complex\, University of Tennessee Knoxville Room: 270-278\, Parking in G10 Lot.\n\nCome\, join us and bring a friend! We should have a short tour of the building as well.\n\nAbstract: Electric al fires impact nearly 50\,000 homes each year. These fires cause approxim ately $1.3B in property losses each year and result in thousands of injuri es and deaths annually. A low-cost sensor network has been deployed in ove r 1M homes with the primary goal of preventing electrical fires.While the prevention of electrical fires was the primary focus of the sensor network \, the data collected is also useful in describing the power quality perfo rmance of utilities where the sensors are deployed.\n\nBy aggregating data from individual homes\, the performance of areas within a utility can be described and more broadly the overall performance of each utility. The sy stem records voltage sags\, voltage swells\, voltage interruptions and har monic distortion.Previous studies (EPRI\, 2022) namely DPQI\, DPQII\, and DPQ/TPQIII have been previously conducted by EPRI.\n\nWhile those studies were limited by the few utilities involved. Interestingly\, the data has g ood correlation to the distributed sensor network described herein. In the report\, the estimated impacts due to power quality disturbances was esti mated between $145B and $240B USD. Naturally\, knowing where these events occur\, and fixing them in a timely fashion is important.\n\nRoom: 270-278 \, Bldg: Zeanah Engineering Complex\, 863 Neyland Dr\, Knoxville\, Tenness ee\, United States\, 37916 LOCATION:Room: 270-278\, Bldg: Zeanah Engineering Complex\, 863 Neyland Dr\ , Knoxville\, Tennessee\, United States\, 37916 ORGANIZER:sean.oesch@ieee.org SEQUENCE:13 SUMMARY:Using Whisker Lab's Ting Sensor to Improve the Grid / Prevent Fires URL;VALUE=URI:https://events.vtools.ieee.org/m/501466 X-ALT-DESC:Description: <br /><p>Greetings IEEE Members of East TN\,</p>\n< p>Come and join us on Oct 16th at 6 PM to hear our ownTheo Laughner share a talk entitled &ldquo\;Using the Whisker Lab&rsquo\;s Ting Sensor to Impr ove Grid Health While Protecting Homes from Electrical Fire Hazards&rdquo\ ; (abstract below).&nbsp\;</p>\n<p>The talk will be held at the Zeanah Eng ineering Complex\, University of Tennessee Knoxville&nbsp\;Room:&nbsp\; 27 0-278\, Parking in G10 Lot.</p>\n<p>Come\, join us and bring a friend! We should have a short tour of the building as well.&nbsp\;</p>\n<p>Abstract: Electrical fires impact nearly 50\,000 homes each year. These fires cause approximately $1.3B in property losses each year and result in thousands of injuries and deaths annually. A low-cost sensor network has been deploy ed in over 1M homes with the primary goal of preventing electrical fires.W hile the prevention of electrical fires was the primary focus of the senso r network\, the data collected is also useful in describing the power qual ity performance of utilities where the sensors are deployed.</p>\n<p>By ag gregating data from individual homes\, the performance of areas within a u tility can be described and more broadly the overall performance of each u tility. The system records voltage sags\, voltage swells\, voltage interru ptions and harmonic distortion.Previous studies (EPRI\, 2022) namely DPQI\ , DPQII\, and DPQ/TPQIII have been previously conducted by EPRI.</p>\n<p>W hile those studies were limited by the few utilities involved. Interesting ly\, the data has good correlation to the distributed sensor network descr ibed herein. In the report\, the estimated impacts due to power quality di sturbances was estimated between $145B and $240B USD. Naturally\, knowing where these events occur\, and fixing them in a timely fashion is importan t.</p> END:VEVENT END:VCALENDAR